This document is written based on the configuration logic of FastGPT 4.9.7.
What the data for this category looks like
Data on plastics and rubber market conditions and yield rates comes from public APIs of domestic futures exchanges, data from bulk commodity spot trading platforms, and statistical information from industry associations. Data is updated on a daily basis, with a complete daily market snapshot generated after market close. Document formats are mostly structured tables or JSON, containing fields such as contract code, contract name, settlement price, spot quote, daily trading volume, and position volume. Price-related fields use yuan/ton as the unit, while trading volume and position volume use lots as the unit. Some industry guidance price data has a delay of 1 to 2 business days.
What constraints do these characteristics impose on the "model access and configuration" link
The need for multi-source data access requires configuring multi-data source verification parameters to ensure alignment of market data across different channels. The daily update characteristic requires configuring scheduled task trigger rules that match the post-market update rhythm, to avoid fetching abnormally unsynchronized data. The multi-field, multi-category structure requires configuring field mapping and category filtering parameters to unify units and field naming, preventing unit errors during yield calculation. Historical yield calculation requires configuring a historical data recall window to ensure sufficient trading day data is retrieved to support analysis logic. The data delay characteristic requires configuring data validity verification thresholds to filter invalid data that has not been updated due to delay.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 10000–14000 characters | Adapts to the text length of plastics and rubber market data and yield calculations, avoids context overflow |
maxKnowledgeRefs | Top 8–12 historical data entries | Covers sufficient trading day market samples to support yield fluctuation analysis, while controlling context usage |
maxResponseTokens | 3500–5500 characters | Meets the output requirements for complete daily report broadcasts, including market analysis and yield calculation results |
customRequestURL | Fill in the public market API address for the corresponding variety | Directly obtains structured raw plastics and rubber market data, reduces subsequent cleaning costs |
proxyAddress | Configure according to enterprise intranet compliance requirements | Ensures connection stability when accessing restricted industry data sources |
scheduleCron | 0 0 17 * * ? | Matches the closing data update rhythm of futures and spot markets, ensures acquisition of complete daily market data |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: The plastics and rubber yield daily report generated by the test workflow always has a fixed brand suffix at the end. Cause: The default attached brand description content was not removed in the system prompt configuration, causing the model output to forcibly carry preset prompt words.
- Phenomenon: The team management interface only displays overall model call volume, and cannot view the call status of specific members. Cause: The
auditLogEnabledconfiguration item was not enabled, and the call log recording and display function was not turned on. - Phenomenon: Unable to obtain market data after configuring
customRequestURL, with a connection failure error returned. Cause: The scope of action ofcustomRequestURLandproxyAddresswas confused. The custom request address only specifies the data source API address, and no proxy address was configured, resulting in inability to access restricted data sources.
How to confirm the configuration is complete
- Manually trigger the scheduled synchronization task, verify whether the returned structured data contains the required fields for the plastics and rubber category, and confirm that the field units are consistent with the agreed standards.
- Run the test workflow to generate a single daily report, check whether the output content covers the daily market and yield calculation logic, and there is no unpreset additional content.
- View the team call log module, confirm that the model call records for the test operation have been normally saved, including call parameters and time information.
- Initiate a data source request after configuring the intranet proxy address, confirm that data can be normally obtained, with no connection timeout or permission error.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.